Which component in Splunk normalizes events?

The component in Splunk that normalizes events is the SA-CIM, also known as the Splunk Common Information Model. The SA-CIM is a framework that provides a common schema for data within Splunk, allowing for a standardized way to represent different types of data collected from various sources. This standardization is crucial for effective data analysis and reporting, as it enables users to correlate and analyze events more easily across disparate data sources.

By using the Common Information Model, different event types can be transformed into a uniform format, which facilitates comparative analysis and improves the overall efficiency of searches, alerts, and reports. Organizations can utilize predefined CIM data models to ensure that their security data aligns with industry standards, which also enhances interoperability within security applications and tools integrated with Splunk.

The other components play different roles in Splunk's architecture. For instance, the data transformation layer manages how data is manipulated after ingestion, while the event processing pipeline handles the real-time processing of incoming data streams. The data ingestion module is responsible for collecting and indexing incoming data but does not focus specifically on normalization. Thus, while these components contribute to the overall function of Splunk, they do not specifically serve the crucial purpose of normalizing events as effectively as the SA-CIM does